Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
ML.energyml.energyThe ML.ENERGY Initiative is a joint academic effort to measure, understand, optimize, and expose the energy consumption of modern machine learning. It provides tools, benchmarks, and leaderboards to help developers analyze and reduce the energy footprint of ML models and systems.
Parse Score
Sources
ml.energy shapes more of what AI says about ML.energy than any other source, at 50% of its citations.
arxiv.org · guides.lib.umich.edu
